
Toast · Bengaluru
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers,...
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate,
increase sales, engage customers, and keep employees happy.
Our Account Recovery team plays a critical role in protecting customer accounts while delivering exceptional customer experiences.
As an Account Recovery Agent, you'll help customers securely regain access to their accounts by managing sensitive recovery
requests, conducting identity verification, investigating account access issues, and making sound security decisions. This role
requires a customer-first mindset, strong attention to detail, and a commitment to balancing security with a seamless support
experience.
A day in the life (Responsibilities)
phone number and OTP resets, email address changes, and account access recovery.
potential fraud or unauthorized access attempts.
guidelines.
workflows.
setting appropriate expectations.
records.
Access Management, Payroll, and Security, to resolve complex customer cases.
experience.
What you'll need to thrive (Requirements)
Support, or similar operational roles.
standard U.S. hours.
What will help you stand out (Nonessential Skills/Nice to Haves)
recovery, and access management.
platforms.
experience.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build
for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from
Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The
people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and
brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a
healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with
tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation.
All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong
culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations
page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse,
and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our
culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong
culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and
regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide
reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation
to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of
employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
P-1377 MISSION As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. THE IMPACT YOU WILL HAVE * Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems. * Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. * Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. * Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embeddings, semantic search, Vector Search/Lakebase databases, context orchestration, memory management, and prompt engineering. * Collaborate with internal teams to influence roadmap, product improvements and support business growth. * Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation, or by teaching our AI systems new skills, which will be used internally and externally by customers and partners. What We Look For 8+ years of experience designing, building, and scaling Data, Machine Learning, and AI systems on-premises and in the cloud using Python, Scala, and Java in production environments, with expertise in Machine Learning and/or generative AI. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus. Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark. * SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies. Proficient in working with algorithms and deep learning, along with NLP techniques. * Prior experience building, designing or troubleshooting LLM-based Generative AI applications. Familiarity with agentic frameworks (e.g., LangChain, LangGraph etc). Expertise in context orchestration, including prompt design, memory management, retrieval systems, vector embeddings, semantic search, and tool integrations. * Comprehensive Knowledge of MLOps and LLMOps with expertise in model evaluation, scoring, ranking, optimisation, training, validation, and packaging. * Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus. * Prior support or customer-facing experience is not required for this role, but the ability and desire to develop excellent customer service skills are. * Prior experience in Data Scientist, ML Engineer, or AI Engineer roles is highly valued. * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Professional certifications are good to have. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
CSQ426R137 Databricks is looking for a Senior Technical Solutions Manager to grow, lead and manage the Technical solutions engineers and support teams in India. The Senior Technical Solutions Manager is responsible for building and managing a regional team of technical experts focused on resolving highly complex and long-running support tickets raised by Databricks customers while overseeing the Support operations. Impact you will have: * Build and manage a team of Technical Solution Engineers * Provide coaching and mentorship to the engineers * Identify and implement process improvements to meet or exceed regional performance KPIs. * Establish training plans and subject matter expertise within the team. * Drive support escalations and establish cross-functional collaboration to manage and resolve issues. * Be a player-coach and provide technical leadership to the regional support team. * Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform. * Define quarterly goals and track them to completion to drive team growth and personal development. * Scale the organization by developing processes and guidelines that promote operational efficiency * Demonstrate a true sense of ownership and coordinate action items with engineering and escalation teams to achieve timely resolution of customer issues. * Perform risk assessments and be a hands-on leader What we are looking for: * Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining * Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers * Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark™ in a technical capacity * Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers. * Excellent analytical and troubleshooting skills. * Excellent customer facing, verbal and written communication skills * A team-oriented attitude and a high degree of comfort working in a startup environment * Hands-on experience in systems troubleshooting, networking, and Linux fundamentals, JVM troubleshooting, debugging of Java applications is preferred About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The CXAI Engineering team sits within Coinbase’s Consumer Engagement and Experience (CEE) organization and is reimagining crypto support through generative AI. We build systems that help customers get fast, accurate, and secure resolutions by combining intelligent orchestration, trusted context retrieval, and action across blockchain and app surfaces. We’re hiring an Engineering Manager to lead development of our AI-powered Automated Resolution platform. You will guide a team building across internal LLM-based agents and key third-party integrations, shaping the intelligence layer that understands complex issues, retrieves the right context, and takes meaningful action. What you'll do: * Drive the roadmap for our conversational AI platform, advancing from decision trees to LLM reasoning, RAG, and agentic workflows. * Lead integration of third-party AI solutions while scaling in-house LLM infrastructure for high-stakes crypto support. * Build evaluation frameworks and feedback loops to improve model accuracy, grounding, compliance, and customer outcomes. * Enable secure agent actions for workflows such as transaction troubleshooting and account recovery through internal APIs. * Define technical architecture across vector databases, prompt design, and context management to deliver personalized support. * Own operational excellence across reliability, latency, token cost, and fallback paths to human agents. Required Skills and Experience: * 8+ years of software engineering experience, including 2+ years leading high-performing teams. * Experience shipping products powered by large language models, with strong understanding of prompt engineering, fine-tuning, and the model provider landscape. * Experience building RAG pipelines and managing the data lifecycle needed to ground AI in real-time knowledge. * Strong systems and platform background, including scalable distributed systems in high-traffic production environments. * Experience designing quantitative AI evaluation frameworks to measure hallucination rates, accuracy, and customer sentiment. * Deep understanding of AI safety and guardrails, including preventing PII leakage and unsafe financial outputs. * Familiarity with vector databases such as Pinecone, Weaviate, or Milvus, and orchestration frameworks such as LangChain or LlamaIndex. * Proficiency in Golang and experience with modern cloud-native infrastructure such as AWS and Kubernetes. * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality Job ID - P75782 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): ₹9,424,500—₹9,424,500 INR * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.